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11 Crayon Data Jobs

AI Architect

10-15 years

Chennai

1 vacancy

AI Architect

Crayon Data

posted 1mon ago

Job Description

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AI Architect (Non-Cloud Large Language Models)
Chennai (Hybrid)

Seeking a visionary AI Architect to lead the strategic implementation of non-cloud Large Language Models (LLMs) across our organization. As a strategic leader, youll bridge the gap between business objectives and technical innovation, ensuring the successful and sustainable adoption of AI that drives tangible business value.

About The Role

This is a hybrid role with frequent travel (30-40%) to client locations, including Riyadh.

Youll be responsible for leading the entire lifecycle of non-cloud LLM deployments, from strategic planning and model selection to ongoing monitoring and optimization.

Key Responsibilities
  • Identify and prioritize high-impact AI use cases that align with organizational goals.
  • Develop a phased roadmap for LLM implementation, considering scalability and long-term sustainability.
  • Conduct cost-benefit analyses to demonstrate the return on investment (ROI) for non-cloud LLM deployments.
  • Select and fine-tune LLMs tailored to meet specific enterprise requirements.
  • Design robust inference pipelines that ensure high performance and seamless integration with existing on-premise systems.
  • Establish ethical AI frameworks to address bias mitigation and safe deployment practices.
  • Ensure compliance with global regulations (GDPR, CCPA) and industry standards.
  • Foster transparency and fairness in AI operations to build trust among stakeholders.
  • Bridge communication between business, engineering, and data science teams to ensure project success.
  • Organize training sessions and workshops to upskill team members on non-cloud LLMs.
  • Create feedback mechanisms for continuous improvement of AI solutions.
  • Automate pipelines for LLM training, deployment, and regular updates on on-premise infrastructure.
  • Monitor key performance indicators (KPIs) to evaluate model performance and optimize processes.
  • Manage on-premise infrastructure to meet the specific needs of non-cloud LLM deployments.
  • Proactively address data security challenges and mitigate risks associated with compliance breaches.
  • Develop robust audit trails and protocols for explain ability to ensure accountability and trustworthiness in AI solutions.
  • Implement security measures tailored for on-premise LLM deployments.
    Qualifications

    • 10-15 years of experience in artificial intelligence, machine learning, or a related field.
    • Proven experience with non-cloud LLM deployments and architectures.
    • Strong understanding of ethical AI principles and governance frameworks.
    • Excellent communication and collaboration skills to bridge communication gaps between various teams.
    • Leadership experience with a proven track record of driving successful AI projects.
    • Ability to travel frequently (30-40%) to client locations


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Employment Type: Full Time, Permanent

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Work From Home
Team Outings
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